Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:03:02.212195Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.04949.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:03:02.212195Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
40 of 40 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9274577b-6b20-4cc7-be94-22dd754fc007 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Journal of Experimental Algorithmics (JEA)17, 2–1 (2012)
Reference 1
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Observation b551c718-75c3-4b74-ac4b-f7d5bbd47957 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Unresolved cited work
Reference 2
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Unavailable: canonical work link unavailable.
Observation 7647acd6-3bc1-4025-8808-9d73ad58bfd5 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algo- rithms
Reference 3
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Observation 113223cc-887c-47ec-83ea-a854f5429443 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)
Reference 4
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Observation dc4ca229-0c6e-4355-a217-529946fa2bee · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Machine Learning66(2), 243–257 (2007)
Reference 5
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Observation 4c351595-0a94-4b5c-b02d-cfc55b9ed9a4 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Machine learning79(1), 151–175 (2010)
Reference 6
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Observation e738ec8c-1fef-4392-be6d-d309e19b7c68 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering New Frameworks for Offline and Streaming Coreset Constructions
Reference 7
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Observation ea41784c-e0fd-403c-88a4-5d2c03240c56 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA)
Reference 8
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Observation 3728ccce-9239-4ef5-b0c3-183daf043e21 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: 2025 IEEE 66th An- nual Symposium on Foundations of Computer Science (FOCS)
Reference 9
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Observation 8d7d5c97-e94d-4cd8-a610-a06274bd0139 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Com- puting
Reference 10
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Observation 143c99ee-1a52-4e55-9d98-e670e0ece5a5 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Advances in Neural In- formation Processing Systems35, 2679–2694 (2022)
Reference 11
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Observation 278d987d-5079-4490-baa1-fa89e7551d49 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
Reference 12
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Observation cd0e3375-76af-46c4-a213-c70e376aadca · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
Reference 13
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Observation c3492e99-5771-412d-8c75-d73067bb482f · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 53rd Annual ACM SIGACT Symposium on The- ory of Computing
Reference 14
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Observation d6188390-635f-482d-8bae-481a1afaadf7 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Random Structures & Algorithms30(1-2), 226–256 (2007)
Reference 15
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Observation c97ff90c-8166-4c2a-8104-9a466ca57312 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Unresolved cited work
Reference 16
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Observation d79b30e0-6cbb-4133-a472-e0d9f8edc1d0 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering accuracy tradeoffs for clustering big data
Reference 17
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Observation 2a4044fb-6023-4d9a-90fc-b151899e262d · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: International Conference on Learning Representations (2022)
Reference 18
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Observation f0785044-a430-40d3-b895-a7fec57c28d3 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Sampling techniques for supervised or unsupervised tasks pp
Reference 19
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Observation 3b9bddd8-baa8-4466-adcb-fa37858519d9 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the forty-third annual ACM symposium on Theory of computing
Reference 20
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Observation fb034eae-e3a2-45aa-9a90-385f0c04c9fe · outbound
Sensitivity Sampling with Predictions for k-Means Clustering SIAM Journal on Com- puting49(3), 601–657 (2020)
Reference 21
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Observation 08ac5741-43c4-4c2b-bdda-9fd74e740feb · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Algorithms–ESA 2013: 21st Annual European Symposium, Sophia Antipolis, France, September 2-4, 2013
Reference 22
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Observation ebc17f5f-71c7-4a7c-ba0b-6aac94e21ac3 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Unresolved cited work
Reference 23
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Observation eaeff582-793f-437e-a79a-f3feab070fa4 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Spatial Statistics14, 491–504 (2015)
Reference 24
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Observation f248c1d0-b334-475a-9a31-044420009b61 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering UCI Machine Learning Repository (2015), DOI: https://doi.org/10.24432/C5RS5J
Reference 25
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bd081831-a287-44b4-8fe7-30355485bd0f · outbound
Sensitivity Sampling with Predictions for k-Means Clustering CRC press (2015)
Reference 26
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Observation e5869736-5067-4447-aa55-95f0b7d0c738 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Unresolved cited work
Reference 27
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Observation 08514144-a122-4026-aff0-b51b9c69b470 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: International Conference on Machine Learning
Reference 28
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Observation b40e10bf-c8d9-4200-93e8-d59d6e2bfe4a · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 56th Annual ACM Symposium on Theory of Computing
Reference 29
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Observation e9ed391e-84c3-4826-ae2f-918a90cc3fbc · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing
Reference 30
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Observation 19ce18ba-da1d-4b4a-bf58-7b7b2e2079e8 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering URL http://www
Reference 31
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Observation ef5ca476-8b07-4cf8-b8e0-fe3eef9a55fb · outbound
Sensitivity Sampling with Predictions for k-Means Clustering IEEE transactions on information theory28(2), 129–137 (1982)
Reference 32
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Observation bd47092c-cbe9-4229-8172-93840cdaf89a · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Advances in Neural Information Processing Systems33, 16142– 16152 (2020)
Reference 33
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Observation 93465c21-4021-43ce-b48b-905f3495ba6c · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: 36th International Conference on Al- gorithmic Learning Theory (2024)
Reference 34
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Observation a5d9f83a-4534-4144-ae21-9e15667dbc0e · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Machine Learning56(1), 61–87 (2004)
Reference 35
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Observation 9e0fcb37-c15e-424f-ae83-3cbf37728720 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering Communications of the ACM65(7), 33–35 (2022)
Reference 36
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Observation fa85e01d-da83-4de8-84f2-a3571fbbf533 · outbound
Sensitivity Sampling with Predictions for k-Means Clustering UCI Machine Learning Repository (2013), dOI: https://doi.org/10.24432/C55W25
Reference 37
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2532660a-e51e-4c38-bccc-ab87497fa63e · outbound
Sensitivity Sampling with Predictions for k-Means Clustering KI-Künstliche Intel- ligenz32, 37–53 (2018)
Reference 38
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Observation c0546170-9cc0-4f11-a8c0-3cf8c47bfc6c · outbound
Sensitivity Sampling with Predictions for k-Means Clustering In: The Eleventh International Con- ference on Learning Representations (2023)
Reference 39
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Observation f6a350d6-d141-4c87-b51d-20612196051d · outbound
Sensitivity Sampling with Predictions for k-Means Clustering interact
Reference 40
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No inbound Pith citation observations are available.